Proceedings of 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming
101-106
Yes
No
International
1613-0073
1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming
2-12-2022
University of Udine
Udine
Italy
[en] Deep Neural Networks ; Black Box Problem ; XAI ; explanation ; understanding ; scientific models
[en] What Deep Neural Networks (DNNs) can do is impressive, yet they are notoriously opaque. Responding to the worries associated with this opacity, the field of XAI has produced a plethora of methods purporting to explain the workings of DNNs. Unsurprisingly, a whole host of questions revolves around the notion of explanation central to this field. This note provides a roadmap of the recent work that tackles these questions from the perspective of philosophical ideas on explanations and models in science.